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JSAC
2006
183views more  JSAC 2006»
15 years 4 months ago
HiRLoc: high-resolution robust localization for wireless sensor networks
In this paper we address the problem of robustly estimating the position of randomly deployed nodes of a Wireless Sensor Network (WSN), in the presence of security threats. We prop...
Loukas Lazos, Radha Poovendran
TNN
2008
138views more  TNN 2008»
15 years 4 months ago
A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
Zhenzhen Liu, Itamar Elhanany
TSMC
2008
94views more  TSMC 2008»
15 years 4 months ago
Queuing Network Modeling of a Real-Time Psychophysiological Index of Mental Workload - P300 in Event-Related Potential (ERP)
Modeling and predicting of mental workload are among the most important issues in studying human performance in complex systems. Ample research has shown that the amplitude of the ...
Changxu Wu, Yili Liu, C. M. Quinn-Walsh
ADHOC
2004
127views more  ADHOC 2004»
15 years 4 months ago
A distributed and adaptive signal processing approach to exploiting correlation in sensor networks
We propose a novel approach to reducing energy consumption in sensor networks using a distributed adaptive signal processing framework and efficient algorithm 1 . While the topic o...
Jim Chou, Dragan Petrovic, Kannan Ramchandran
CORR
2007
Springer
135views Education» more  CORR 2007»
15 years 4 months ago
Detailed Network Measurements Using Sparse Graph Counters: The Theory
— Measuring network flow sizes is important for tasks like accounting/billing, network forensics and security. Per-flow accounting is considered hard because it requires that m...
Yi Lu, Andrea Montanari, Balaji Prabhakar